DeepVIO is a self-supervised deep network for monocular VIO that projects stereo-derived 3D geometric constraints to train 2D optical flow and IMU fusion networks, outperforming prior learned methods on KITTI and EuRoC.
Go- icp: A globally optimal solution to 3d icp point-set registration
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DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints
DeepVIO is a self-supervised deep network for monocular VIO that projects stereo-derived 3D geometric constraints to train 2D optical flow and IMU fusion networks, outperforming prior learned methods on KITTI and EuRoC.